It is important to rigorously and comprehensively evaluate the safety performance of
Automated Vehicles before they are produced and deployed. Under naturalistic driving
conditions, field operational tests and simulations may take a long time to finish, because of
the low exposure to safety-critical scenarios. In this paper, we propose an accelerated
evaluation approach. Statistics of the motion of the primary other vehicle (POV) were built
using extracted naturalistic driving data then modified to present higher risk interactions …

Automated Vehicles (AVs) must be evaluated thoroughly before their release and
deployment. The challenges of AV evaluation stem from two facts. i) Crashes are
exceedingly rare events, which makes the Naturalistic-Field Operational Tests (N-FOT) very
time-consuming and expensive to conduct. ii) AVs can “cheat” to pass predefined tests.
Traditionally, vehicle test protocols are pre-defined and fixed. This is not a problem when the
vehicle is “dumb”, but becomes a problem when the vehicle is intelligent and can be …